The concept of the “wisdom of crowds” illustrates an emergent property where groups of individuals can be smarter than the smartest members within those groups. This idea is fundamental to collective intelligence, and modern platforms such as GitHub, Wikidata, and OpenStreetMap exemplify this principle. This study investigates how open data ecosystems, particularly Comprehensive Knowledge Archive Network (CKAN) - cbased portals, can adopt similar mechanisms to foster community engagement and enhance system functionality. Upon investigating various open data portals, we found that there were minimal ways for users to contribute back to the system regarding existing resources. Some portals did provide limited ways to contribute, such as feedback forms, but these were not intuitive enough to facilitate direct collaboration. To address this, we propose integrating resource revisioning and issue-tracking mechanisms inspired by GitHub to allow users to improve datasets collaboratively. This study outlines the technical implementation of these features, including schema changes such as creating new database tables to handle dataset revisions and their logs, issue tracking, comment histories, issue statuses for specific data resources, and publisher decisions on user-submitted revisions. Moreover, comprehensive user interface (UI) updates were also introduced, featuring new tabs and dedicated pages for managing dataset revisions and issue tracking. These enhancements not only increase user engagement by providing intuitive collaboration tools but also support future scalability through modular extensions for CKAN portals. This modular approach ensures seamless integration with existing CKAN-based systems, facilitating widespread adoption across open data portals. By integrating these proposed changes, we aim to encourage the open data community to become more active, collectively improve the system, and establish a more circular and sustainable ecosystem.